How to Find Your Most Liked Tweet on Twitter
Learn multiple ways to find your most liked tweet on Twitter, from in-app analytics to advanced search, third-party tools, and API data exports.

How to Find Your Most Liked Tweet on Twitter (X)
Knowing how to find your most liked tweet on Twitter (now X) is a smart way to measure what content truly resonates with your audience. Whether you’re a social media manager, brand owner, or avid user, these insights can sharpen your content strategy, boost engagement, and help you replicate successful tweets for future growth.

In this step-by-step guide, you’ll discover multiple methods to locate your most liked tweets—ranging from Twitter’s own analytics to advanced search filters, third-party tools, and even API-driven approaches. You’ll also learn how to analyze, repurpose, and schedule your top-performing content for greater impact.
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Why Finding Your Most Liked Tweet Matters
Before focusing on the “how,” it’s critical to understand the “why” behind this metric.
- Content Strategy: Identify formats, styles, and topics that consistently perform well.
- Audience Insights: Likes signal interest and connection from your followers.
- Personal Branding: Showcasing your most popular tweets strengthens credibility.
For brands, this can mean better conversions and brand awareness. For individuals, it often leads to audience growth and new opportunities.
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Method 1: Use Twitter/X In-App Analytics
Twitter offers a free analytics dashboard that gives you insights into tweet performance.
Desktop Steps
- Log in to twitter.com.
- Click your profile icon in the upper right corner.
- Select Analytics (or open analytics.twitter.com).
- Under the Tweets tab, select your desired date range.
- Review impressions, engagements, and likes—high like counts mark your top tweets.
Mobile Steps
- Open the Twitter app.
- Visit your profile.
- Tap a tweet, then tap View Tweet activity.
- Compare recent tweets manually for like counts.
Tip: The built-in dashboard doesn’t sort by likes, so you’ll need to identify high performers yourself.

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Method 2: Sort Tweets Manually with Advanced Search Filters
Advanced Search is a powerful feature for surfacing your top tweets.
Using Advanced Search
- Open Twitter Advanced Search.
- Fill in your username under From these accounts.
- In Minimum likes, set a number (e.g., 50).
- Set dates if you want a specific time period.
- Click Search and review the results.
Quick Shortcut: Use `min_faves:100` directly in the search bar. Example:
from:yourusername min_faves:100
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Method 3: Use Third-Party Analytics Tools
External analytics platforms can make the process faster and more visual.
Tool | Free Plan | Key Features |
---|---|---|
TweetBinder | Yes, limited | Hashtag and account analytics, ranking by likes |
Followerwonk | Yes, limited | Follower analytics, engagement insights |
Twitonomy | Limited free | Export tweets, sort by likes/retweets/replies |
Benefits:
- Automated sorting by likes.
- Data visualizations for easier interpretation.
- Historical data beyond Twitter’s standard limits.
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Method 4: Export & Analyze Tweet Data with the Twitter API or Data Download
If you prefer hands-on analysis, downloading or querying your data is possible.
Using Twitter’s Data Download
- Go to Settings and privacy.
- Choose Your account → Download an archive of your data.
- Authenticate and download your ZIP archive.
- Open the `.js` tweet file in a spreadsheet program.
- Sort by `favorite_count` to reveal your top-liked tweets.
Using the Twitter API
For developers or tech-savvy users, fetching tweets by like count is straightforward:
import tweepy
client = tweepy.Client(bearer_token="YOUR_BEARER_TOKEN")
tweets = client.get_users_tweets(id="YOUR_USER_ID", max_results=100, tweet_fields=['public_metrics'])
sorted_tweets = sorted(
tweets.data,
key=lambda t: t.public_metrics['like_count'],
reverse=True
)
for tweet in sorted_tweets[:5]:
print(tweet.text, tweet.public_metrics['like_count'])
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Method 5: Analyze Patterns in High-Performing Tweets
Finding your most liked tweet is only the beginning—identifying trends is where the real value lies.
- Topic: Are certain subjects consistently popular?
- Format: Are visual tweets outperforming text-only?
- Posting Time: Do likes spike at specific hours?
- Tone: Is wit winning over wisdom, or vice versa?

Spotting these patterns helps you develop a repeatable content strategy.
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Method 6: Repurpose or Repost Your Best Tweets
Maximize the reach of proven winners:
- Quote Tweet with updated commentary.
- Expand into a Thread with supporting details.
- Cross-Platform Sharing on LinkedIn, Instagram, TikTok.
- Schedule a Repost after a few months for renewed exposure.
This approach amplifies content without starting from scratch.
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Method 7: Set Up Ongoing Tracking
Regular tracking prevents missed opportunities and keeps content planning on point.
- Bookmarks: Save tweets that show sudden traction.
- Spreadsheets: Track monthly top 5 liked tweets and their stats.
- Automation: Use Zapier or IFTTT with the API to log high-performing tweets to Google Sheets.
Columns might include: Date, Likes, Retweets, Topic, Format, Engagement Rate.
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Method 8: Avoid Obsessing Over Likes Alone
Likes matter, but other engagement metrics tell a fuller story.
Track Alongside Likes:
- Replies: Depth of interaction.
- Retweets: Content shareability.
- Profile Clicks: Interest in you as the author.
A balanced approach ensures you measure meaningful engagement, not just vanity metrics.
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Summary & Next Steps
Your most liked tweet gives you a snapshot of what resonates most with your audience. To make the most of it:
- Start Simple with in-app analytics or search filters.
- Upgrade to third-party tools for faster insights.
- Study Patterns to guide future posts.
- Repurpose Content for multi-channel reach.
- Track Holistically to measure true impact.
With these strategies, you’ll not only know your current top tweet—you’ll have a system for consistently creating high-performing content.
Ready to optimize your Twitter presence? Start by finding your top tweet today, and put these methods into action for sustained engagement growth.